在网络攻击下,与VSC和EV聚合器集成的多区域电力系统的数据驱动负载频率合作控制
Guangdou Zhang1, Jian Li1, Yankai Xing1
1Power System Wide-area Measurement and Control Key Laboratory of Sichuan Province, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
ISA transactions
|October 22, 2023
概括
本研究介绍了一种使用多代理深度增强学习 (MADRL) 的合作负载频率控制 (LFC) 策略,以管理电网的电压源转换器 (VSC) 和电动汽车 (EV) 聚合器,即使在网络攻击期间.
科学领域:
- 电力系统工程 电力系统工程
- 人工智能的人工智能
- 控制理论 控制理论
背景情况:
- 现代电力系统面临着负载频率控制 (LFC) 的挑战,因为可再生能源整合和电动汽车 (EV) 的复杂性越来越高.
- 网络攻击对电网稳定性构成重大威胁,可能破坏LFC系统并导致频率偏差.
- 现有的LFC策略往往缺乏对复杂的网络攻击的稳定性,并且难以有效地协调各种电网组件.
研究的目的:
- 为多区域电力系统制定一个强大的合作负载频率控制 (LFC) 战略.
- 将电压源转换器 (VSC) 和电动汽车 (EV) 聚合器集成到一个统一的控制框架中.
- 加强电网抵御网络攻击的弹性,旨在破坏频率监管的稳定性.
主要方法:
- 一个多代理深度强化学习 (MADRL) 框架被提议用于集中培训和分散执行LFC战略.
- 通过空间矢量技术改进的VSC的新型传输功能被开发并与EV聚合器集成,以创建一个多区域训练环境.
- 制定了一种旨在绕过不良数据检测 (BDD) 的网络攻击模型,并使用具有特定参数更新策略的双重批评网络来减轻攻击影响.
主要成果:
- 拟议的基于MADRL的LFC战略有效地协调了不同控制区域的热轮机,VSC和EV聚合器.
- 与现有的控制策略相比,开发的方法在减轻网络攻击引起的频率波动方面表现出了卓越的表现.
- 在三区域测试功率系统上的模拟验证了MADRL框架的稳定性和有效性.
结论:
- 在复杂的电力系统中,MADRL框架为合作的LFC提供了一个有希望的解决方案,提高了稳定性和弹性.
- 在MADRL框架内集成VSC和EV聚合器提高了系统处理动态负载变化和干扰的能力.
- 拟议的战略提供了一个强大的防御机制,以抵御针对LFC系统的敌对网络攻击.
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